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The support of VivadoHLS for OpenCV does not mean that the OpenCV function library can be directly synthesized into RTL code, but the code needs to be converted into synthesizable code. These synthesizable video libraries are called HLS video libraries, provided by VivadoHLS.

Using Xilinx's VivadoHLS high-level language synthesis tool, you can easily convert OpenCV C video processing design to RTL code, output Zynq's hardware accelerator or directly implement real-time hardware video processing on FPGA. OpenCV has thousands of users, and OpenCV is designed to run on ARM processors of Zynq devices without modification, but high-definition processing using OpenCV is often limited by external memory, especially memory bandwidth can become a performance bottleneck, Memory access also limits power efficiency.

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DRAGEN Complete Suite - Ultra-Fast Analysis of Next Generation Sequencing - Exome The DRAGEN Complete Suite (Exome) enables next generation sequencing (NGS) data on large datasets such as whole exomes and target groups.

At the same time, single-chip integration can both reduce BOM cost and enable scalability across different product families. In addition, such platforms have a solid technical foundation and are customizable, thereby shortening product development cycles and accelerating time-to-market for new applications.

Accelize provides a DRM-enabled distribution platform for FPGA-accelerated applications and IP cores, increasing revenue for customers worldwide through instant, scalable and secure deployment. The platform supports any CSP such as AWS, Huawei, Alibaba, Nimbix or Xilinx Alveo boards for on-premises deployment.

At the same time, Xilinx's Zynq All-programmable SoC is a good way to implement embedded computer vision applications, solving the limitations of low-power and high-power video processing on a single processor, Zynq high-performance programmable logic and embedded ARM cores , is an integrated solution for image processing with optimized performance and power consumption.

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OpenCV does not have a data structure for vectors, but when we want to represent vectors, we need to represent them with matrix data. However, CvMat is more abstract, and its element data types are not limited to basic data types, but can be any predefined data types, such as RGB or other multi-channel data. In openCV, the CvMat and IplImage types are more focused on "images", especially with a certain degree of optimization for image operations in them.

In addition, Xilinx has released the world's first FPGA-based Open Compute Accelerator Module (OAM) proof-of-concept board. Based on Xilinx UltraScale+™ VU37P FPGA and equipped with 8GB HBM memory, the mezzanine card complies with the Open Accelerator Infrastructure (OAI) specification and can support seven 25Gbps x8 links, providing a rich inter-module system topology for distributed acceleration.